R programmer

Position Overview:

We are looking for a Senior R Developer with extensive experience in R programming, R Shiny Dashboard development, and AWS Cloud server deployment. The ideal candidate will lead the project for an R environment, create dynamic and interactive dashboards using R Shiny, and ensure smooth hosting and operation on a AWS.

**Key Responsibilities:**

- **R Programming Transition:**

- Analyze and understand the existing application to effectively transition it to R.

- Re-write or optimize existing code to ensure efficiency and scalability in R.

- **R Shiny Dashboard Development:**

- Design, develop, and implement interactive and visually appealing R Shiny Dashboards.

- Integrate data sources and ensure real-time data updates in the dashboards.

- Collaborate with stakeholders to gather requirements and provide dashboard solutions that meet business needs.

- **Cloud Server Hosting:**

- Support to Set up and configure AWS for hosting R Shiny Dashboards.

- Support to Ensure secure, scalable, and reliable AWS hosting environments.

- **Project Leadership and Collaboration:**

- Collaborate with cross-functional teams including data scientists, analysts, and IT staff.

**Required Skills and Qualifications:**

- Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, or related field.

- Proven experience in R programming and developing R Shiny applications.

- Strong understanding of data manipulation and visualization in R.

- Experience with cloud platforms such as AWS, Google Cloud, or Azure, specifically in deploying R Shiny Dashboards.

- Optional (Good to have)Proficiency in setting up and managing cloud infrastructure and services.

- Familiarity with DevOps practices, including CI/CD pipelines and version control (e.g., Git).

- Excellent problem-solving skills and ability to work independently and as part of a team.

- Strong communication skills to effectively collaborate with technical and non-technical stakeholders.

**Preferred Skills:**

- Experience with other data visualization tools and libraries.

- Knowledge of additional programming languages such as Python or JavaScript